TAILIEUCHUNG - ARTIFICIAL NEURAL NETWORKS – ARCHITECTURES AND APPLICATIONS

Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of architectures, methodologies, and applications of artificial neural networks. The book consists of two parts: the architecture part covers architectures, design, optimization, and analysis of artificial neural networks; the applications part covers applications of artificial neural networks in a wide range of areas including biomedical, industrial, physics, and financial applications | ARTIFICIAL NEURAL NETWORKS -ARCHITECTURES AND APPLICATIONS Edited by Kenji Suzuki Artificial Neural Networks - Architectures and Applications http 3409 Edited by Kenji Suzuki Contributors Eduardo Bianchi Thiago M. Geronimo Carlos E. D. Cruz Fernando de Souza Campos Paulo Roberto De Aguiar Yuko Osana Francisco Garcia Fernandez Ignacio Soret Los Santos Francisco Llamazares Redondo Santiago Izquierdo Izquierdo JoseEIManuel Ortiz-RodriEtjuez Hector Rene Vega-Carrillo José Manuel Cervantes-Viramontes Victor Martín Hernandez-Davila Maria Del Rosario MartiEhez-Blanco Giovanni Caocci Amr Radi Joao Luis Garcia Rosa Jan Mares Lucie Grafova Ales Prochazka Pavel Konopasek Siti Mariyam Shamsuddin Hazem M. El-Bakry Ivan Nunes Da Silva Da Silva Published by InTech Janeza Trdine 9 51000 Rijeka Croatia Copyright 2013 InTech All chapters are Open Access distributed under the Creative Commons Attribution license which allows users to download copy and build upon published articles even for commercial purposes as long as the author and publisher are properly credited which ensures maximum dissemination and a wider impact of our publications. After this work has been published by InTech authors have the right to republish it in whole or part in any publication of which they are the author and to make other personal use of the work. Any republication referencing or personal use of the work must explicitly identify the original source. Notice Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published chapters. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials instructions methods or ideas contained in the book. Publishing Process Manager Iva Lipovic Technical Editor InTech DTP team Cover InTech Design team First .

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• Neutron Spectrometry
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• Neural Networks
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• From theory to applications
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• Lecture Biomedical Signal Processing and Modeling
• Biomedical Signal Processing and Modeling
• Bài giảng Mô hình hóa tín hiệu y sinh
• The Nature of Biomedical Signals
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• Cardiac action potentials
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• The biomedical engineering handbook
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• A mechanical cell model
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